iPhone 13 Pro Max
Geekbench AI Score
3089
Single Precision Score
19850
Half Precision Score
22809
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | vuthi |
| Upload Date | September 27 2025 07:35 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
8959
1.67 KIPS |
|
|
Image Classification (Q)
|
96% |
11204
2.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
13179
213.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
13751
222.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5815
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
72802
84.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
89155
104.5 IPS |
|
|
Object Detection (SP)
|
100% |
1329
105.4 IPS |
|
|
Object Detection (HP)
|
99% |
10610
844.0 IPS |
|
|
Object Detection (Q)
|
91% |
12714
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
26256
312.0 IPS |
|
|
Face Detection (Q)
|
100% |
36567
434.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5120
39.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
56204
433.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
75893
593.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16453
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
156278
200.9 IPS |
|
|
Style Transfer (Q)
|
96% |
151511
195.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3646
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29883
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29422
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2595
3.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2523
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2522
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5990
103.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6995
120.9 IPS |
